Data Science Associate – Graduate

Jobtailor; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

TD is offering an 18-month rotational Associate Program, exposing you to analytics and AI across business areas. You will perform data queries, clean datasets, and engineer features for modeling, while identifying opportunities for data-driven solutions.

You will collaborate to develop forecasting, optimization, and pricing models, communicate findings to diverse audiences, and contribute to business case development for analytics initiatives.

Qualifications

• Must have graduated between May 2025 and May 2027.
• Graduate degree in Business, Management, and/or Data Analytics or related field.
• At least 2 years of professional experience, including work terms during studies.
• Strong statistical and analytical skills.
• Experience analyzing large data sets, drawing insights and inferences, and communicating outputs.
• Experience in predictive analytics, optimization, regression, logit modeling, discrete choice, simulation, propensity modeling, data/text mining, programming, algorithm development, automation, data visualization, or NLP.
• Strong knowledge of at least one of R, Python, SQL, SAS, Java, or C/C++.
• Technical knowledge or experience with Spark and Cloud.
• Must have strong leadership qualities, initiative, prioritization, communication, analytical, and problem-solving skills.
• Able to work as part of a team with targeted deliverables.
• Ability to remain current with emerging trends and technologies.

Responsibilities

• Participate in TD's 18-month rotational Associate Program with two nine-month rotations.
• Gain exposure to business areas within the Analytics Insights & AI team.
• Perform data queries and prepare datasets for analysis and modeling, including data cleaning and feature engineering.
• Analyze large datasets to identify trends and insights that inform business decisions.
• Communicate findings to technical and non-technical audiences.
• Collaborate with team members and business partners to develop, test, and deploy analytics solutions such as forecasting, optimization, and pricing models.
• Identify business problems and opportunities appropriate for data-driven solutions.
• Develop proposals and approaches for analytics initiatives.
• Support business case development for analytics solutions.
• Work on initiatives designed to improve decisions, processes, systems, and applications supporting TD's businesses.

Skills

Predictive Analytics

Data Visualization

R Programming

Python Programming

Statistical Analysis

Education

Graduate degree in Business, Management, and/or Data Analytics or related field

Tools

SQL

SAS

Java

C/C++

Spark

Cloud

Job description

Participate in TD's 18-month rotational Associate Program with two nine-month rotations
Gain exposure to business areas within the Analytics Insights & AI team
Perform data queries and prepare datasets for analysis and modeling, including data cleaning and feature engineering
Analyze large datasets to identify trends and insights that inform business decisions
Communicate findings to technical and non-technical audiences
Collaborate with team members and business partners to develop, test, and deploy analytics solutions such as forecasting, optimization, and pricing models
Identify business problems and opportunities appropriate for data-driven solutions
Develop proposals and approaches for analytics initiatives
Support business case development for analytics solutions
Work on initiatives designed to improve decisions, processes, systems, and applications supporting TD's businesses

Requirements

• Must have graduated between May 2025 and May 2027
• Graduate degree in Business, Management, and/or Data Analytics or related field
• At least 2 years of professional experience, including work terms during studies
• Strong statistical and analytical skills
• Experience analyzing large data sets, drawing insights and inferences, and communicating outputs
• Experience in one or more of predictive analytics, optimization, regression, logit modeling, discrete choice, simulation, propensity modeling, data/text mining, programming, algorithm development, automation, data visualization, or natural language processing
• Strong technical knowledge and experience with at least one of R, Python, SQL, SAS, Java, or C/C++
• Technical knowledge or experience with Spark and Cloud
• Must have strong leadership qualities, initiative, prioritization, communication, analytical, and problem-solving skills
• Able to work as part of a team with targeted deliverables
• Ability to remain current with emerging trends and technologies
• Applications must include a transcript, cover letter of one letter-sized page or less, and a resume of maximum 2 pages
• Must reside in Canada, the country where the role is located

Core Competencies

Demonstrates strong statistical and analytical skills with experience in predictive analytics, optimization, and data visualization. Proficient in programming languages such as R, Python, and SQL, with the ability to communicate complex findings to diverse audiences.

Highest-signal resume keywords

• Predictive Analytics
• Data Visualization
• R Programming
• Python Programming
• Statistical Analysis

Hard Skills

• Data Cleaning
• Feature Engineering
• Regression Analysis
• Logit Modeling
• Discrete Choice Modeling
• Simulation
• Propensity Modeling
• Data/Text Mining
• Algorithm Development
• Automation

Soft Skills

• Leadership Qualities
• Initiative
• Prioritization
• Communication
• Problem-Solving

Industry Keywords

• Analytics Insights
• Data-Driven Solutions
• Business Case Development
• Emerging Trends
• Team Collaboration

Tools & Technologies

• SQL
• SAS
• Java
• C/C++
• Spark
• Cloud